Semrush Enterprise AI Optimization Expands AI Search Tracking to Microsoft Copilot
New integration deepens market-leading LLM coverage, giving brands a more complete view of their AI search visibility.
December 1, 2025
New capabilities in Semrush Enterprise AI Optimization help brands audit and optimize content for maximum visibility across LLMs
Semrush Enterprise launches new Content Optimization capabilities for its AI Optimization solution. These breakthrough features bridge the gap between existing content strategies and the rapidly evolving landscape of AI-driven search and helps content teams systematically audit, optimize, and deliver their entire strategies in one place.
AI Search’s New Content Challenges
As ChatGPT, AI Mode, and Perplexity reshape how users discover information, brands face critical questions: does their existing content work for AI search? How can they effectively optimize for this channel?
While search engines rank entire pages, AI search operates differently: models explore your content through search mechanisms, then evaluate whether specific sections provide value worth citing.
This creates a dual optimization challenge. One that demands a new approach to content strategy and the need to evaluate every page's readiness for AI citation across multiple angles and topics.
AI Optimization gives teams data-backed guidance, showing exactly where their content stands with AI models, and providing concrete steps to be included in all the relevant conversations.
Content Audit: Connect Your Content to AI Opportunities
Content Audit scans thousands of your highest-performing pages and maps them against relevant AI prompts, revealing the true state of your content's AI readiness. Using advanced embedding-based vector analysis, the tool identifies:
- Prompt-Page matches: Distribution of strong, adequate, and weak content fits against AI prompts.
- Coverage gaps: High-value AI prompt opportunities where your content is absent or underperforming.
- Improvement pathways: Recommendations including Schema.org markup audits and optimization guidance tailored to your target market.
- Prioritization framework: Clear fit scores that help teams focus on the highest-impact improvements first.
The in-depth audits examine how well each page addresses the questions, topics, and subtopics that AI systems recognize, for comprehensive coverage.
Content Optimization: Build Pages That Win AI Visibility
Content Optimization then transforms insights into action. These features evaluate content specifically for AI, based relevance, structure, and completeness, delivering:
- Topic guidelines: Comprehensive briefs showing what your content should include for maximum topical coverage.
- Live AI visibility scoring: Question Score (percentage of key questions your content addresses), Cluster Coverage (breadth of LLM-recognized subtopics covered), Structure Score (content clarity and AI readability)
- Supporting questions and subtopics: Ensure your content answers all essential aspects of user queries.
- AI writing assistant: Generate optimized content from scratch using best practices for AI search.
Analysis includes actual AI responses and clusters related topics, providing detailed guidelines. This enables content teams to strengthen both completeness and overall authority.
Built for Future-Ready Brands
With AI Optimization’s new content capabilities, brands can finally see how their content performs across AI search and take concrete action to improve their visibility.
As search continues its rapid transformation, content teams now have the strategic foundation they need to compete and win.
